LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model | Paper Citation Record

Observation 5f425873-978d-42e6-8569-b5ba39e5747d · outbound

This paper cites Cross-image attention for zero- shot appearance transfer.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Cross-image attention for zero- shot appearance transfer

Reference 1

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Observation c975e59e-f319-4d0c-acb2-11d8fb084658 · outbound

This paper cites Sketchinr: A first look into sketches as implicit neural representations.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketchinr: A first look into sketches as implicit neural representations

Reference 2

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Observation 18f0bf04-4bf7-41ea-b68b-21be74f7c862 · outbound

This paper cites What sketch explainability really means for downstream tasks? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages 10997–11008, 2024.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model What sketch explainability really means for downstream tasks? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages 10997–11008, 2024

Reference 3

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Observation 49ff9b10-4205-4207-a633-4950c1bb8c7c · outbound

This paper cites Masksketch: Unpaired structure-guided masked image generation.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Masksketch: Unpaired structure-guided masked image generation

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Observation a6a2da6c-abbc-4291-99b1-f29fbc62a02d · outbound

This paper cites Style and abstraction in por- trait sketching.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Style and abstraction in por- trait sketching

Reference 5

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Observation 64442aa4-1dc6-4fbd-9e10-e52c85a6f201 · outbound

This paper cites Pixelor: A competitive sketching ai agent.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Pixelor: A competitive sketching ai agent

Reference 6

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Observation 3edc219a-0144-4ffe-8403-a0893fa801db · outbound

This paper cites Sketch less for more: On-the-fly fine-grained sketch-based image retrieval.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketch less for more: On-the-fly fine-grained sketch-based image retrieval

Reference 7

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Observation 3d04458b-849f-4dbb-aaea-b20c45f1d804 · outbound

This paper cites B-cos net- works: Alignment is all we need for interpretability.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model B-cos net- works: Alignment is all we need for interpretability

Reference 8

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Observation 499ff0b0-e212-4b29-beae-b7fdd7f9b57d · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model In- structpix2pix: Learning to follow image editing instructions

Reference 9

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Observation 7ce7a9a3-b756-44ba-8fe0-b75ec4bc6853 · outbound

This paper cites Painting materials and working methods.A Corpus of Rembrandt Paintings: 1625–1631 , pages 11–33,.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Painting materials and working methods.A Corpus of Rembrandt Paintings: 1625–1631 , pages 11–33,

Reference 10

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Observation aee287a6-c1d4-44ae-9ccb-69313f3068f8 · outbound

This paper cites Diffusart: Enhancing line art coloriza- tion with conditional diffusion models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Diffusart: Enhancing line art coloriza- tion with conditional diffusion models

Reference 11

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Observation 8d80d1d8-c42a-4cdc-9e6c-b344a840b56d · outbound

This paper cites Fast image pro- cessing with fully-convolutional networks.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Fast image pro- cessing with fully-convolutional networks

Reference 12

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Observation 2b9e4f92-eec6-4e7b-9923-d5d9d2236e8f · outbound

This paper cites Deepfacedrawing: Deep generation of face im- ages from sketches.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Deepfacedrawing: Deep generation of face im- ages from sketches

Reference 13

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Observation 01011d73-1ae8-4d93-8633-9ff6b8ce503b · outbound

This paper cites Sketchygan: Towards di- verse and realistic sketch to image synthesis.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketchygan: Towards di- verse and realistic sketch to image synthesis

Reference 14

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Observation b26c7bb5-20ce-4680-8455-7c71edd8c8c5 · outbound

This paper cites Adaptively-realistic image gen- eration from stroke and sketch with diffusion model.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Adaptively-realistic image gen- eration from stroke and sketch with diffusion model

Reference 15

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Observation f8cc9af4-e369-429d-a7af-dc4f0843a8ae · outbound

This paper cites Zest: Zero-shot material trans- fer from a single image.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Zest: Zero-shot material trans- fer from a single image

Reference 16

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Observation ff14ef2c-e3b6-42f9-9db0-02c9dc50e62c · outbound

This paper cites Style injec- tion in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Style injec- tion in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer

Reference 17

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Observation 8f080341-03ed-4e2f-b51b-6b49be5c9e9e · outbound

This paper cites Cross- modal latent space alignment for image to avatar translation.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Cross- modal latent space alignment for image to avatar translation

Reference 18

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Observation 535dddb9-1766-42c4-b7ff-c4e7405be4b6 · outbound

This paper cites Stytr2: Im- age style transfer with transformers.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Stytr2: Im- age style transfer with transformers

Reference 19

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Observation 2660b211-f737-458b-8789-24d96ac9ccf7 · outbound

This paper cites How do humans sketch objects? ACM Transactions on graphics (TOG) , 31 (4):1–10, 2012.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model How do humans sketch objects? ACM Transactions on graphics (TOG) , 31 (4):1–10, 2012

Reference 20

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Observation 48af1705-98f4-4959-b175-5e53e5d2759e · outbound

This paper cites Image smoothing via unsupervised learning.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Image smoothing via unsupervised learning

Reference 21

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This paper cites Faragasso.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Faragasso

Reference 22

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Observation f86aed08-e7de-499d-98b6-fd6f399a3ef7 · outbound

This paper cites Ic9600: a benchmark dataset for automatic image complexity assess- ment.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Ic9600: a benchmark dataset for automatic image complexity assess- ment

Reference 23

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Observation 735f5973-e001-4d75-9afe-0a62dae074d2 · outbound

This paper cites Sketchycoco: Image gener- ation from freehand scene sketches.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketchycoco: Image gener- ation from freehand scene sketches

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This paper cites Neural image com- pression via attentional multi-scale back projection and fre- quency decomposition.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Neural image com- pression via attentional multi-scale back projection and fre- quency decomposition

Reference 25

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Observation 61ca59eb-3516-42fa-bb93-7154e6f1ce32 · outbound

This paper cites Get3d: A generative model of high quality 3d tex- tured shapes learned from images.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Get3d: A generative model of high quality 3d tex- tured shapes learned from images

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Observation 04d61ee1-1adc-4c28-8fe3-dde0ac0dc862 · outbound

This paper cites A Neural Algorithm of Artistic Style.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model A Neural Algorithm of Artistic Style

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Observation 9eca2220-b350-4994-86e6-a10d54f2c249 · outbound

This paper cites Exploring the structure of a real-time, arbitrary neural artistic stylization network.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Exploring the structure of a real-time, arbitrary neural artistic stylization network

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Observation f2f26cdb-b119-4765-bcaa-a063ae9a2ea6 · outbound

This paper cites Interactive sketch & fill: Multiclass sketch-to-image transla- tion.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Interactive sketch & fill: Multiclass sketch-to-image transla- tion

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This paper cites Opens- ketch: A richly-annotated dataset of product design sketches.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Opens- ketch: A richly-annotated dataset of product design sketches

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This paper cites Sketch2mesh: Reconstructing and editing 3d shapes from sketches.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketch2mesh: Reconstructing and editing 3d shapes from sketches

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:21.238457Z

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This paper cites Cogs: Controllable generation and search from sketch and style.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Cogs: Controllable generation and search from sketch and style

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This paper cites Diffusion- enhanced patchmatch: A framework for arbitrary style trans- fer with diffusion models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Diffusion- enhanced patchmatch: A framework for arbitrary style trans- fer with diffusion models

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This paper cites Guided image fil- tering.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Guided image fil- tering

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This paper cites Masked autoencoders are scalable vision learners.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Masked autoencoders are scalable vision learners

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This paper cites Why do line drawings work? a realism hypothesis.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Why do line drawings work? a realism hypothesis

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This paper cites Aespa-net: Aesthetic pattern-aware style transfer networks.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Aespa-net: Aesthetic pattern-aware style transfer networks

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This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Arbitrary style transfer in real-time with adaptive instance normalization

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This paper cites Sc-fegan: Face editing gen- erative adversarial network with user’s sketch and color.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sc-fegan: Face editing gen- erative adversarial network with user’s sketch and color

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This paper cites The quick, draw!-ai experi- ment.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model The quick, draw!-ai experi- ment

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This paper cites Giampietrino, boltraffio, and the influence of leonardo.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Giampietrino, boltraffio, and the influence of leonardo

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This paper cites Pic- ture that sketch: Photorealistic image generation from ab- stract sketches.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Pic- ture that sketch: Photorealistic image generation from ab- stract sketches

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This paper cites It’s all about your sketch: Democratising sketch control in diffusion models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model It’s all about your sketch: Democratising sketch control in diffusion models

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Observation 9a69604f-5dc9-46bd-9805-d30720f9f12c · outbound

This paper cites Deeppatent: Large scale patent drawing recognition and re- trieval.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Deeppatent: Large scale patent drawing recognition and re- trieval

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Observation be58b671-2f71-4823-8de4-d0fb345e83e0 · outbound

This paper cites Photo-sketching: Inferring contour draw- ings from images.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Photo-sketching: Inferring contour draw- ings from images

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This paper cites Gligen: Open-set grounded text-to-image generation.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Gligen: Open-set grounded text-to-image generation

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This paper cites Visual Attribute Transfer through Deep Image Analogy.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Visual Attribute Transfer through Deep Image Analogy

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This paper cites Sketchdream: Sketch-based text-to-3d generation and edit- ing.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketchdream: Sketch-based text-to-3d generation and edit- ing

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This paper cites Deflocnet: Deep im- age editing via flexible low-level controls.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Deflocnet: Deep im- age editing via flexible low-level controls

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This paper cites Unsupervised sketch to photo synthesis.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Unsupervised sketch to photo synthesis

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This paper cites Learning re- cursive filters for low-level vision via a hybrid neural net- work.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Learning re- cursive filters for low-level vision via a hybrid neural net- work

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.920111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e6389ae7-7dff-4256-8a91-276ed87e69c6 · outbound

This paper cites Image generation from sketch constraint using con- textual gan.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Image generation from sketch constraint using con- textual gan

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.899744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a87c0041-a650-48df-a6ea-df5c701c48f1 · outbound

This paper cites Early processing of visual information.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Early processing of visual information

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.881367Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1501ba5d-c74d-4b1b-b8ab-f07a943aeffb · outbound

This paper cites Visual information processing: The structure and creation of visual representations.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Visual information processing: The structure and creation of visual representations

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.862447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1ac33bec-71e2-4840-b825-0f1b45947ecd · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

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Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:19.786535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 672757a4-cbaa-4483-a728-88a006b04d08 · outbound

This paper cites Sked: Sketch-guided text-based 3d editing.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sked: Sketch-guided text-based 3d editing

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.845500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ce894dd1-a96f-448f-931b-a4daa9152442 · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.826343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 600ffbe7-4370-46cd-abad-2516e3a6a543 · outbound

This paper cites an unresolved cited work.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:55:20.806343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0e7dfadb-26e1-4a19-baff-58c3f20dcf2b · outbound

This paper cites Unsupervised learning of visual representations by solving jigsaw puzzles.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Unsupervised learning of visual representations by solving jigsaw puzzles

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Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:19.807898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34a4bf5e-a8a5-4a0b-a820-f2b0adc70f4d · outbound

This paper cites an unresolved cited work.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:55:20.774250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cb7a511d-9f9f-4686-8ab0-02fc75e7da27 · outbound

This paper cites Discourse on the practice of painting and its main processes: Underpainting, overpainting and re- touching.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Discourse on the practice of painting and its main processes: Underpainting, overpainting and re- touching

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.750569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4132b9d9-6abe-45fb-96bc-1046490360b7 · outbound

This paper cites Zero-shot image-to-image translation.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Zero-shot image-to-image translation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.725855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 34b30a0e-470d-433a-ba23-da96ccc86fbe · outbound

This paper cites Dead- iff: An efficient stylization diffusion model with disentan- gled representations.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Dead- iff: An efficient stylization diffusion model with disentan- gled representations

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.706330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a5c76641-362c-4072-bc2e-ed748824d8a2 · outbound

This paper cites Sketchxai: A first look at explain- ability for human sketches.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketchxai: A first look at explain- ability for human sketches

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.688808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9133f9eb-9047-4f40-9f58-62c6ef538734 · outbound

This paper cites Kornia: an open source differentiable computer vision library for pytorch.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Kornia: an open source differentiable computer vision library for pytorch

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.670019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eb93f9e4-6210-46c3-a5fe-520e20cc70cb · outbound

This paper cites Encoding in style: a stylegan encoder for image-to-image translation.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Encoding in style: a stylegan encoder for image-to-image translation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.651056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d6c782b8-0c16-4307-9cca-0871e1083300 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model High-resolution image synthesis with latent diffusion models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:19.850716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 506f9fad-cc72-4c31-a00c-a5b9199e418d · outbound

This paper cites Nonlinear total variation based noise removal algorithms.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Nonlinear total variation based noise removal algorithms

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Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:19.856132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db87fe2d-5377-4cdf-a544-bbaa3b6188a1 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.608215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec68b541-731b-4c0f-82dc-c96bcbfbd0ac · outbound

This paper cites The sketchy database: learning to retrieve badly drawn bunnies.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model The sketchy database: learning to retrieve badly drawn bunnies

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:19.866252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 616c32f5-62f9-49cc-a040-4f6419865290 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:19.872176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceef4a33-0e32-44da-988c-847873ad5bc2 · outbound

This paper cites Alchemist: Parametric control of material proper- ties with diffusion models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Alchemist: Parametric control of material proper- ties with diffusion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.570409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dbf3d165-b5ba-4b06-b3fc-1ac0ed83e2ba · outbound

This paper cites Learning to sketch with shortcut cycle consistency.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Learning to sketch with shortcut cycle consistency

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.550640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b371f23d-8318-4294-ae01-d8e6df9c240e · outbound

This paper cites Bilateral filtering for gray and color images.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Bilateral filtering for gray and color images

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.532849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cd5a60c4-30f3-463e-b34c-b0a05687671f · outbound

This paper cites Sketch-guided object localization in nat- ural images.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketch-guided object localization in nat- ural images

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.515126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a10f16c4-6ad0-4c48-bd42-e6898275ce7b · outbound

This paper cites Texture Networks: Feed-forward Synthesis of Textures and Stylized Images.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Texture Networks: Feed-forward Synthesis of Textures and Stylized Images

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:19.897108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7576e84c-2301-4fa2-ac80-2f379cf83ca4 · outbound

This paper cites Clipasso: Semantically-aware object sketching.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Clipasso: Semantically-aware object sketching

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.496911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c0a1c5c4-9aca-4fc4-9773-f9d5f7062ed3 · outbound

This paper cites Clipascene: Scene sketching with different types and levels of abstraction.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Clipascene: Scene sketching with different types and levels of abstraction

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.480204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 378f83ca-e1a1-4f69-9b53-5b5331e6a733 · outbound

This paper cites Sketch-guided text-to-image diffusion models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketch-guided text-to-image diffusion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.458868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 267240a3-bc2e-4feb-bfeb-acc61a7ef94c · outbound

This paper cites Learning robust global representations by penalizing local predictive power.Advances in Neural Information Pro- cessing Systems, 32, 2019.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Learning robust global representations by penalizing local predictive power.Advances in Neural Information Pro- cessing Systems, 32, 2019

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Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:19.918106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad08cf7f-613a-48d9-bce3-3febfebafdc2 · outbound

This paper cites InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:19.922823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5243d29e-a0ae-44f7-9aa9-1a8d3d9f6fad · outbound

This paper cites Unsupervised scene sketch to photo synthesis.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Unsupervised scene sketch to photo synthesis

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.426780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d17efc6-cf00-4c89-9b77-85768c58c65b · outbound

This paper cites Sketch your own gan.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketch your own gan

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.406182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1d60c218-7ede-4929-ab00-0697e4a952f0 · outbound

This paper cites Pretraining is All You Need for Image-to-Image Translation.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Pretraining is All You Need for Image-to-Image Translation

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Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:19.942213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2a7cedb-f1d3-44cb-b197-433622e950d0 · outbound

This paper cites Stylediffusion: Controllable disentangled style transfer via diffusion models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Stylediffusion: Controllable disentangled style transfer via diffusion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.388310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 301cdd48-8034-4dfc-b20c-65cdc38654e9 · outbound

This paper cites Fine-grained image analysis with deep learning: A survey.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Fine-grained image analysis with deep learning: A survey

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.368415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 376b39d2-2b7c-4475-8a4c-c0f4dc70e73e · outbound

This paper cites Style- former: Real-time arbitrary style transfer via parametric style composition.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Style- former: Real-time arbitrary style transfer via parametric style composition

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.351110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 12bf5082-9264-49c7-8e22-4127b0c126d3 · outbound

This paper cites Sketch-based model- ing with a differentiable renderer.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketch-based model- ing with a differentiable renderer

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.334929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d50b3c8c-878e-437b-b81d-7c63065f5500 · outbound

This paper cites Adversarial open domain adap- tation for sketch-to-photo synthesis.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Adversarial open domain adap- tation for sketch-to-photo synthesis

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.317505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 39606374-39c4-46e5-a0b8-78f6f4b4476b · outbound

This paper cites Differsketching: How differently do people sketch 3d objects?ACM Transactions on Graphics (TOG), 41(6):1–16, 2022.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Differsketching: How differently do people sketch 3d objects?ACM Transactions on Graphics (TOG), 41(6):1–16, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.300772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae597e06-3365-4edb-96b0-78b128ddfe73 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Depth anything: Unleashing the power of large-scale unlabeled data

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Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:19.977090Z

Source-reported events for the cited work

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Observation e0e4210c-9a2a-4889-9dd9-01aa47804bd6 · outbound

This paper cites Controllable sketch-to-image translation for robust face synthesis.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Controllable sketch-to-image translation for robust face synthesis

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.273668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1408c2f1-aa59-41c2-84bf-5fda17927c5d · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

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Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:19.987007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 410b9eff-2cad-49cc-8d2f-b799282fd23e · outbound

This paper cites Texture- dreamer: Image-guided texture synthesis through geometry- aware diffusion.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Texture- dreamer: Image-guided texture synthesis through geometry- aware diffusion

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.256892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5dd9ca16-3803-4a55-9805-66e197971873 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Adding conditional control to text-to-image diffusion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.239950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a3790ba3-0842-4c8b-9c3c-42762ab02ddb · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model The unreasonable effectiveness of deep features as a perceptual metric

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Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:20.001963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf369185-c7f5-4cae-ab78-c6173f011079 · outbound

This paper cites Prospect: Prompt spectrum for attribute-aware personalization of diffusion models.ACM Transactions on Graphics (TOG), 42(6):1–14, 2023.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Prospect: Prompt spectrum for attribute-aware personalization of diffusion models.ACM Transactions on Graphics (TOG), 42(6):1–14, 2023

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Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:20.007475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49ae8bbd-2d36-40db-a689-be0c3d033754 · outbound

This paper cites Inversion-based style transfer with diffusion models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Inversion-based style transfer with diffusion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:20.200721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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